CN108417253A - Psychological resistance to compression correlate analysis method and device - Google Patents
Psychological resistance to compression correlate analysis method and device Download PDFInfo
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- CN108417253A CN108417253A CN201810217295.6A CN201810217295A CN108417253A CN 108417253 A CN108417253 A CN 108417253A CN 201810217295 A CN201810217295 A CN 201810217295A CN 108417253 A CN108417253 A CN 108417253A
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Abstract
A kind of psychological resistance to compression correlate analysis method provided by the invention and device.The method includes：Obtain psychological resistance to compression monitoring data；Formal Modeling is carried out to psychological resistance to compression monitoring data；Multiple psychological factors in the model of foundation are analyzed according to preset algorithm, to obtain the incidence relation between different mental factor.The present invention utilizes big data, is studied traditional in such a way that the correlativity for artificially studying psychology difference factor is converted into through computer, without deliberately setting hypothesis factor, pass through association analysis method, it is automatic to find hiding correlativity, the research and development time is shortened, efficiency of research and development is improved；And pass through Import computer ancillary technique and big data analysis digging technology; correlativity between the factor of the psychological anti-pressure ability of research; psychological research personnel are assisted to analyze the psychological anti-pressure ability of different crowd; early warning is carried out to mental crisis according to latency in advance, promotes the development of mental health industry.
Description
Technical field
The present invention relates to mental health technical fields, in particular to a kind of psychological resistance to compression correlate analysis method
And device.
Background technology
Currently, because the critical incident that obstacle generation occurs in psychology occurs again and again, as university produces student again and again because meeting with
It is jumped out of the building by Psychological setback selection, employee is because of operating pressure or by also commonplace the phenomenon that jumping out of the building after unjust treatment.
Mental health is the basis of people's holistic health and subjective happiness, and good psychological condition can be used as teen-age heavy
Resource is wanted, it is most important to its forward direction development.
Psychological resistance to compression factor is the important factor in order of mental health, and the stronger individual of psychological resistance to compression factor is frustrated
When folding, the possibility faced that can still keep pleasant is bigger, the poor people of psychological resistance to compression factor, when meeting with setback, is easy
Show it is self-degradation, either make injure other people or factum, severe patient will appear suicide etc. behaviors.
However, by which factor to individual psychological resistance to compression factor test and different factors between pass
The quantization of system is calculated, and there is presently no similar Computer auxiliary study method and systems.Therefore it is badly in need of a kind of every heart of research and development
Association analysis method between reason factor analyzes the correlativity between different mental factor, resists to which specific aim improves psychology
Pressure factor.
Invention content
In view of this, the embodiment of the present invention is designed to provide a kind of psychological resistance to compression correlate analysis method and dress
It sets, pointedly to analyze the incidence relation between each psychological factor.
An embodiment of the present invention provides a kind of psychological resistance to compression correlate analysis method, the method includes：Obtain psychology
Resistance to compression monitoring data, wherein the psychology resistance to compression monitoring data include multiple psychological test examination questions, each psychological test examination question packet
Include the option of multiple answer choices and user's selection；Formal Modeling is carried out to the psychological resistance to compression monitoring data；Wherein, it establishes
Model include multiple psychological factors；Multiple psychological factors in the model of foundation are analyzed according to preset algorithm, with
Incidence relation between different mental factor.
Further, described the step of carrying out Formal Modeling to the psychological resistance to compression monitoring data, includes：To each
The answer choice of the psychological test examination question is into row threshold division；Choosing to user's selection of psychological test examination question described in each
Item matching threshold range；The matched threshold range of option institute selected based on psychological test examination question and user establishes model, establishes
Model include multiple psychological factors, the psychological factor includes psychological test examination question and the matched threshold of option institute of user's selection
It is worth range.
Further, described that multiple psychological factors in the model of foundation are analyzed according to preset algorithm, to obtain
The step of incidence relation between different mental factor includes：Build the candidate C being made of k psychological factork；It deletes and waits
Nonmatching grids in option set, by candidate item set CkBe converted to frequent item set Lk；By frequent item set LkElement spelled
Meet the new candidate C of combination producingk+1, compute repeatedly until frequent item set LkIt include only an element.
Further, the method further includes：Confidence test is carried out to the psychological factor in obtained frequent item set, if full
Sufficient confidence test, then there are correlativities for the psychological factor for judging in frequent item set.
Further, the nonmatching grids deleted in candidate item set, by candidate item set CkBe converted to frequent episode
Collect LkThe step of include：Calculate the number that item collection occurs；It chooses occurrence number and is more than the item collection of preset value as frequent item set.
A kind of psychology resistance to compression correlate analytical equipment, described device include：Acquisition module, for obtaining psychological resistance to compression prison
Measured data, wherein the psychology resistance to compression monitoring data include multiple psychological test examination questions, each psychological test examination question packet it is multiple but
Answer choice and the option of user's selection；Modeling module, for carrying out Formal Modeling to the psychological resistance to compression monitoring data；
Wherein, the model of foundation includes multiple psychological factors；Analysis module is used for according to preset algorithm to multiple in the model of foundation
Psychological factor is analyzed, to obtain the incidence relation between different mental factor.
Further, the modeling module includes：Threshold segmentation unit, for psychological test examination question described in each
Answer choice is into row threshold division；Matching unit, the option for user's selection to psychological test examination question described in each
With threshold range；Modeling unit, the matched threshold range of option institute for being selected based on psychological test examination question and user are established
The model of model, foundation includes multiple psychological factors, and the psychological factor includes psychological test examination question and the option of user's selection
The matched threshold range of institute.
Further, the analysis module includes：Construction unit, for building the candidate item being made of k psychological factor
Collect Ck；Screening unit, for deleting the nonmatching grids in candidate item set, by candidate item set CkBe converted to frequent item set Lk；
The construction unit is additionally operable to frequent item set LkElement splice and combine and to generate new candidate Ck+1, the screening
Unit repeats screening and calculates until frequent item set LkIt include only an element.
Further, the analysis module further includes analytic unit, and the analytic unit is in obtained frequent item set
Psychological factor carries out confidence test, if meeting confidence test, there are correlativities for the psychological factor for judging in frequent item set.
Further, the screening unit is used to calculate the number of item collection appearance；It chooses occurrence number and is more than preset value
Item collection is as frequent item set.Compared with the prior art, the invention has the advantages that：
A kind of psychological resistance to compression correlate analysis method provided by the invention and device.The method includes：Obtain psychology
Resistance to compression monitoring data, wherein the psychology resistance to compression monitoring data include multiple psychological test examination questions, each psychological test examination question packet
Include the option of multiple answer choices and user's selection；Formal Modeling is carried out to the psychological resistance to compression monitoring data；Wherein, it establishes
Model include multiple psychological factors；Multiple psychological factors in the model of foundation are analyzed according to preset algorithm, with
Incidence relation between different mental factor.The present invention utilizes big data, by traditional by artificially studying psychology difference
The correlativity of factor is converted into be studied by way of computer, without deliberately be arranged hypothesis factor, by using association
Analysis method, it is automatic to find to hide correlativity, the research and development time is shortened, efficiency of research and development is improved；And it is calculated by introducing
Machine ancillary technique and big data analysis digging technology study the correlativity between the factor of psychological anti-pressure ability, auxiliary psychology
Researcher analyzes the psychological anti-pressure ability of different crowd, in advance according to latency, carries out early warning to mental crisis, promotes the heart
Manage the development of health industry.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment cited below particularly, and coordinate
Appended attached drawing, is described in detail below.
Description of the drawings
It, below will be to required use in embodiment in order to illustrate more clearly of the technical solution of embodiment of the present invention
Attached drawing be briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not to be seen as
It is the restriction to range, it for those of ordinary skill in the art, without creative efforts, can be with root
Other relevant attached drawings are obtained according to these attached drawings.
Fig. 1 shows a kind of psychological resistance to compression correlate analysis system schematic diagram provided by the present invention.
Fig. 2 shows the flow charts of psychological resistance to compression correlate analysis method.
Fig. 3 shows the sub-step flow chart of step S20.
Fig. 4 shows the sub-step flow chart of step S30.
Fig. 5 shows the high-level schematic functional block diagram of psychological resistance to compression correlate analytical equipment.
Fig. 6 shows the function subelement schematic diagram of modeling module.
Fig. 7 shows the function subelement schematic diagram of analysis module.
Icon：100- psychology resistance to compression correlate analysis systems；101- memories；102- storage controls；103- processing
Device；104- Peripheral Interfaces；105- display units；106- input-output units；200- psychology resistance to compression correlate analytical equipments；
210- acquisition modules；220- modeling modules；221- Threshold segmentation units；222- matching units；223- modeling units；230- points
Analyse module；231- construction units；232- screening units；233- analytic units.
Specific implementation mode
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, the detailed description of the embodiment of the present invention to providing in the accompanying drawings is not intended to limit claimed invention below
Range, but it is merely representative of the selected embodiment of the present invention.Based on the embodiment of the present invention, those skilled in the art are not doing
The every other embodiment obtained under the premise of going out creative work, shall fall within the protection scope of the present invention.
It should be noted that：Similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent attached drawing in a attached drawing.
In the description of the present invention, it is also necessary to explanation, herein, such as first and second or the like relationship art
Language is only used to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying this
There are any actual relationship or orders between a little entities or operation.The terms "include", "comprise" or its it is any its
He is intended to non-exclusive inclusion by variant, so that the process, method, article or equipment including a series of elements is not
Only include those elements, but also include other elements that are not explicitly listed, or further include for this process, method,
Article or the intrinsic element of equipment.In the absence of more restrictions, being wanted by what sentence "including a ..." limited
Element, it is not excluded that there is also other identical elements in the process, method, article or apparatus that includes the element.For
For those skilled in the art, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.
Below in conjunction with the accompanying drawings, it elaborates to some embodiments of the present invention.In the absence of conflict, following
Feature in embodiment and embodiment can be combined with each other.
Fig. 1 shows the block diagram for the psychological resistance to compression correlate analysis system 100 that present pre-ferred embodiments provide.
The psychology resistance to compression correlate analysis system 100 can be desktop computer, laptop, tablet computer, intelligent hand
Machine, personal digital assistant (personal digital assistant, PDA) etc..The psychology resistance to compression correlate analysis system
System 100 includes test validity judgment means 200, memory 101, storage control 102, processor 103, Peripheral Interface
104, display unit 105, input-output unit 106.
The memory 101, storage control 102, processor 103, Peripheral Interface 104, display unit 105, input are defeated
Go out 106 each element of unit to be directly or indirectly electrically connected between each other, to realize the transmission or interaction of data.For example, these
Element can be realized by one or more communication bus or signal wire be electrically connected between each other.The psychology resistance to compression correlate
Analytical equipment 200 include it is at least one can be stored in the memory 101 in the form of software or firmware (firmware) or
The software being solidificated in the operating system (operating system, OS) of the psychological resistance to compression correlate analysis system 100
Function module.The processor 103 for executing the executable module stored in memory 101, such as the psychological resistance to compression because
The software function module or computer program that plain association analysis device 200 includes.
Wherein, memory 101 may be, but not limited to, random access memory (Random Access Memory,
RAM), read-only memory (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only
Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM),
Electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..
Wherein, memory 101 is for storing program, and the processor 103 executes described program, this hair after receiving and executing instruction
The method performed by the server defined by process that bright any embodiment discloses can be applied in processor 103, Huo Zheyou
Processor 103 is realized.
Processor 103 may be a kind of IC chip, the processing capacity with signal.Above-mentioned processor 103 can
To be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit
(Network Processor, abbreviation NP) etc.；Can also be digital signal processor (DSP), application-specific integrated circuit (ASIC),
Field programmable gate array (FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hard
Part component.It may be implemented or execute disclosed each method, step and the logic diagram in the embodiment of the present invention.General processor
Can be microprocessor or the processor 103 can also be any conventional processor 103 etc..
The Peripheral Interface 104 couples various input/output devices to processor 103 and memory 101.One
In a little embodiments, Peripheral Interface 104, processor 103 and storage control 102 can be realized in one single chip.At other
In some examples, they can be realized by independent chip respectively.
Display unit 105 provides one between the psychological resistance to compression correlate analysis system 100 and user and interacts boundary
Face (such as user interface) is referred to for display image data to user.In the present embodiment, the display unit 105
Can be liquid crystal display or touch control display.Can be the electricity for supporting single-point and multi-point touch operation if touch control display
Appearance formula touch screen or resistance type touch control screen etc..Single-point and multi-point touch operation is supported to refer to touch control display and can sense from this
The touch control operation that one or more positions generate simultaneously on touch control display, and the touch control operation that this is sensed is transferred to handle
Device 103 is calculated and is handled.
Input-output unit 106 is for being supplied to user input data to realize user and the psychological resistance to compression correlate point
The interaction of analysis system 100.For example, can be used for testing user input selection or the answer choice etc. of judgement.The input and output
Unit 106 may be, but not limited to, mouse and keyboard etc., and the keyboard can be dummy keyboard.
First embodiment
Referring to Fig. 2, present embodiments providing a kind of psychological resistance to compression correlate analysis method, Fig. 2 shows this implementations
The flow chart for the psychological resistance to compression correlate analysis method that example provides.
Psychology resistance to compression correlate analysis method provided in this embodiment includes step step S10~step S30.
Step S10：Obtain psychological resistance to compression monitoring data.
Psychological resistance to compression detection data is obtained first, resistance to compression factor can be analyzed just now.It in this present embodiment, can be with
The forms such as APP or questionnaire are monitored using the anti-pressure monitoring system of psychology, psychological resistance to compression, collect and assess psychological resistance to compression monitoring
Data.For example, each user's individual, which corresponds to, generates a psychological resistance to compression monitoring data report, per a psychological resistance to compression monitoring report
For a independent data sample；In this present embodiment, every part of psychological resistance to compression monitoring data are by several psychological test examination question groups
At each psychological test examination question includes the option of several candidate items and user's individual choice.For example, the stem of a certain examination question
For " I often worries that the thing what has bad will occur ", the answer choice from " pole is not met " to " extremely meeting " of this examination question
Six grades " 1,2,3,4,5,6 " are in turn divided into, are six answer choices of this test question.In this present embodiment, it uses
The option of family individual choice can be " 6 ", that is, represent " extremely meeting ".
It should be noted that the psychological resistance to compression detection data acquired in the present embodiment, including multiple psychological resistance to compression testing numbers
According to sample, each psychological resistance to compression detection data sample includes multiple psychological test examination questions, answer choice and user
The selected answer choice of body.
Step S20：Formal Modeling is carried out to the psychological resistance to compression monitoring data.
In this present embodiment, it needs the psychological resistance to compression monitoring data of magnanimity carrying out Formal Modeling processing, so as to follow-up
Being associated property is analyzed.Without loss of generality, the examination question of psychology monitoring is represented using q, then qi, i ∈ { 1,2 ..n } expressions i-th
A examination question；A psychological resistance to compression detection data sample is indicated using d, then without loss of generality, d can be expressed as vectorial d=<q1,
q2,…,qn>, indicate there are n parts of examination questions in a psychological resistance to compression detection data sample；Psychological monitoring report database is indicated using T,
Then without loss of generality, T can be expressed as T={ d1,d2,…,dm, psychological monitoring report database T is indicated, by m parts of psychological resistance to compressions
The set of detection data sample composition.
In this present embodiment, step S20 includes following sub-step：Step S201~step S209.Please refer to Fig. 3.
Step S201：To the answer choice of psychological test examination question described in each into row threshold division.
In this present embodiment, each psychological test examination question includes multiple answer choices, for each option, choosing
Entry value is a degree centrifugal pump, but for association analysis, association analysis receives two codomains, occurs as 1, does not occur as
0, it is therefore desirable to in each psychological resistance to compression detection data sample psychological test examination question and its answer choice into row threshold division.
For example, by taking examination question " I often worries that the thing what has bad will occur " as an example, the answer choice of this examination question from
" pole is not met " to " extremely meeting " is in turn divided into six grades " 1,2,3,4,5,6 ", is that six of this test question answer
Case option.Six answer choices of ontology are set as selecting 1~3 being 0, are selected 4~6 for 1.In this present embodiment, for example, with
The option of family individual choice is " 6 ", that is, represents this user's individual and the selection of the answer of this test examination question is fallen into
1 this threshold range.
It should be noted that the answer choice number of other psychological test examination questions can also be 4,8 etc., for each threshold
Being worth range, there is no specific quantity to limit, and only needs reasonably to be split answer choice.
Step S202：To the option matching threshold range of user's selection of psychological test examination question described in each.
The answer choice that user selects is matched with the answer choice into row threshold division, user is made to select
Answer choice falls into matched threshold range.For example, the answer threshold range of a certain test examination question is that select 1~4 be 0,
It is 1 to select 5~8, if the answer choice of a certain user's individual choice is 5, the answer of user's individual to this test examination question
Option falls into 1 this range.
Step S203：The matched threshold range of option institute selected based on psychological test examination question and user establishes model.
The matched threshold range of option institute selected according to psychological test examination question and user establishes model, the model packet of foundation
Multiple projects are included, each project is a psychological factor, and the psychological factor includes psychological test examination question and user's selection
The matched threshold range of option institute.
Step S30：Multiple psychological factors in the model of foundation are analyzed according to preset algorithm, to obtain decentraction
Incidence relation between reason factor.
The model of foundation includes multiple projects, is including multiple psychological factors, according to preset algorithm to the model of foundation
In multiple psychological factors be associated analysis, be by association analysis algorithm, multiple psychological factors in analysis model it
Between mutual incidence relation.
For example, in this present embodiment, the difference in psychological resistance to compression monitoring process can be analyzed by Apriori algorithm
Psychological factor between incidence relation.Referring to Fig. 4, step S30 includes following sub-step：
Step S301：Build the candidate C being made of k psychological factork。
Build the list C of a candidate item set being made of k project (psychological factor)k(k is since 1).Work as k=1
When, set CkIncluding k element, each element is a psychological factor.
Step S302：The nonmatching grids in candidate item set are deleted, by candidate item set CkBe converted to frequent item set Lk。
Screening frequent item set is the set for filtering out occurrence number in candidate item set and being more than a threshold value, occurrence number
It can be characterized with support.In this present embodiment, the set that occurrence number in candidate item set is more than a threshold value is filtered out,
It is the set screened support and meet preset requirement.
First, the number of each candidate appearance is calculated.Then the item collection work that occurrence number is more than preset value is chosen
For frequent item set Lk。
Step S303：By frequent item set LkElement splice and combine and to generate new candidate Ck+1, compute repeatedly straight
To frequent item set LkIt include only an element.
In the set L of given item collectionkIn, k indicates the number of the single item in the item collection next merged, such as item collection
{ 1,2,3 } has 3 elements, therefore k=3 in the set.In this way, generating the aggregate list for including k elements.
By frequent item set LkElement splice and combine and to generate new candidate Ck+1, being will be in former frequent item set
Element is spliced and combined, e.g., as k=1, C1In each element only include a psychological factor, LkIn element
Also only include 1 psychological factor, by frequent item set LkIn element spliced and combined, form new candidate Ck+1, then newly
Candidate C2In each element include 2 psychological factors, compute repeatedly until frequent item set LkIt include only a member
For element to get all frequent episode elements of given support have been gone out, the psychological factor which is included is occurrence number most frequency
Numerous psychological factor, the possibility for being mutually of incidence relation are maximum.
Step S304：Confidence test is carried out to the psychological factor in obtained frequent item set if meeting confidence test to sentence
There are correlativities for psychological factor in disconnected frequent item set.
In order to find the correlation rule between psychological factor, first since a frequent item set, such as there are one frequent episodes
Collect { parental discord, parental separation }, then there may be a correlation rule " parental discord->Parental separation ".If this means that
It is that a certain user's individual " parental discord " this psychological factor occurs, then statistically the face, " parent of user individual
The probability of divorced " can be bigger.It should be noted that this incidence relation might not be set up in turn.That is may be used
Reliability (" parental discord "->" parental separation ") and it is not equal to (" parental separation "->" parental discord ").
In the case of given support and min confidence, multiple psychological factors in frequent item set are carried out one by one
The input of confidence test, certainty factor algebra is psychological factor item collection, support and min confidence, to detect psychological factor item collection
Multiple psychological factors between whether meet confidence test statistically, if meeting confidence test, regard as the presence of correlation
Relationship.
For example, for { parental discord, parental separation }, if " parental discord->The confidence level of parental separation " is more than default
Min confidence, then judge exist " parental discord->This incidence relation of parental separation ", it means that if a certain user
There is " parental discord " this psychological factor in individual, then statistically face, " parental separation " of user individual it is general
Rate can be bigger.It should be noted that the support counting of { parental discord, parental separation } is removed in the support of { parental discord }
It counts, is the confidence level of { parental discord, parental separation } this rule.
Second embodiment
Present embodiments provide a kind of psychological resistance to compression correlate analytical equipment 200, psychological resistance to compression correlate analysis dress
It sets 200 and can be used for executing the psychological resistance to compression correlate analysis method that first embodiment provides, referring to Fig. 5, described device
Including：
Acquisition module 210, for obtaining psychological resistance to compression monitoring data, wherein the psychology resistance to compression monitoring data include multiple
Psychological test examination question, each psychological test examination question packet is multiple but answer choice and the option of user's selection.
It is to be appreciated that acquisition module 210 can be used for executing step S10.
Modeling module 220, for carrying out Formal Modeling to the psychological resistance to compression monitoring data；Wherein, the model of foundation
Including multiple psychological factors.
It is to be appreciated that modeling module 220 can be used for executing step S20.
In this present embodiment, modeling module 220 includes following functions subelement, please refers to Fig. 6：
Threshold segmentation unit 221, for the answer choice of psychological test examination question described in each into row threshold division.
It is to be appreciated that Threshold segmentation unit 221 can be used for executing step S201.
Matching unit 222, the option matching threshold range for user's selection to psychological test examination question described in each.
It is to be appreciated that matching unit 222 can be used for executing step S202.
Modeling unit 223, the matched threshold range of option institute for being selected based on psychological test examination question and user are established
The model of model, foundation includes multiple psychological factors, and the psychological factor includes psychological test examination question and the option of user's selection
The matched threshold range of institute.
It is to be appreciated that modeling unit 223 can be used for executing step S203.
Analysis module 230, for being analyzed the psychological factor of singing the praises of in the model of foundation according to preset algorithm, with
Incidence relation between different mental factor.
It is to be appreciated that analysis module 230 can be used for executing step S30.
In this present embodiment, referring to Fig. 7, the analysis module 230 includes following functions subelement：
Construction unit 231, for building the candidate Ck being made of k psychological factor.
It is to be appreciated that construction unit 231 can be used for executing step S301.
Screening unit 232, for deleting the nonmatching grids in candidate item set, by candidate item set CkIt is converted to frequently
Item collection Lk.Specifically, screening unit 232 is used to calculate the number of item collection appearance；Choose the item collection that occurrence number is more than preset value
As frequent item set.
It is to be appreciated that screening unit 232 can be used for executing step S302.
The construction unit 231 is additionally operable to frequent item set LkElement splice and combine and to generate new candidate
Ck+1, the repetition screening calculating of the screening unit 232 is until frequent item set LkIt include only an element.
The analysis module 230 further includes analytic unit 233, and the analytic unit 233 is in obtained frequent item set
Psychological factor carries out confidence test, if meeting confidence test, there are correlativities for the psychological factor for judging in frequent item set.
In conclusion the present invention provides a kind of psychological resistance to compression correlate analysis method and device, the method includes：
Obtain psychological resistance to compression monitoring data, wherein the psychology resistance to compression monitoring data include multiple psychological test examination questions, and each psychology is surveyed
Topic of having a try includes the option of multiple answer choices and user's selection；Formal Modeling is carried out to the psychological resistance to compression monitoring data；
Wherein, the model of foundation includes multiple psychological factors；Multiple psychological factors in the model of foundation are carried out according to preset algorithm
Analysis, to obtain the incidence relation between different mental factor.Using big data, by traditional by artificially studying psychology not
Correlativity with factor is converted into and is studied by way of computer, without hypothesis factor is deliberately arranged, by using pass
Join analysis method, it is automatic to find to hide correlativity, the research and development time is shortened, efficiency of research and development is improved；And it is counted by introducing
Calculation machine ancillary technique and big data analysis digging technology study the correlativity between the factor of psychological anti-pressure ability, assist the heart
The psychological anti-pressure ability that researcher analyzes different crowd is managed, in advance according to latency, early warning is carried out to mental crisis, is promoted
The development of mental health industry.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, the flow chart in attached drawing and block diagram
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a module, section or code
Part, a part for the module, section or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that at some as in the realization method replaced, the function of being marked in box can also be to be different from
The sequence marked in attached drawing occurs.For example, two continuous boxes can essentially be basically executed in parallel, they are sometimes
It can execute in the opposite order, this is depended on the functions involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use the dedicated of function or action as defined in executing
Hardware based system is realized, or can be realized using a combination of dedicated hardware and computer instructions.
In addition, each function module in each embodiment of the present invention can integrate to form an independent portion
Point, can also be modules individualism, can also two or more modules be integrated to form an independent part.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be expressed in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic disc or CD.
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should be noted that：Similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and is explained.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of psychology resistance to compression correlate analysis method, which is characterized in that the method includes：
Obtain psychological resistance to compression monitoring data, wherein the psychology resistance to compression monitoring data include multiple psychological test examination questions, Mei Gexin
Reason test examination question includes the option of multiple answer choices and user's selection；
Formal Modeling is carried out to the psychological resistance to compression monitoring data；Wherein, the model of foundation includes multiple psychological factors；
Multiple psychological factors in the model of foundation are analyzed according to preset algorithm, to obtain between different mental factor
Incidence relation.
2. psychology resistance to compression correlate analysis method as described in claim 1, which is characterized in that described to the psychological resistance to compression
Monitoring data carry out Formal Modeling the step of include：
To the answer choice of psychological test examination question described in each into row threshold division；
To the option matching threshold range of user's selection of psychological test examination question described in each；
The matched threshold range of option institute selected based on psychological test examination question and user establishes model, and the model of foundation includes more
A psychological factor, the psychological factor include psychological test examination question and the matched threshold range of option institute of user's selection.
3. psychology resistance to compression correlate analysis method as described in claim 1, which is characterized in that described according to preset algorithm pair
Multiple psychological factors in the model of foundation are analyzed, to be wrapped the step of obtaining the incidence relation between different mental factor
It includes：
Build the candidate C being made of k psychological factork；
The nonmatching grids in candidate item set are deleted, by candidate item set CkBe converted to frequent item set Lk；
By frequent item set LkElement splice and combine and to generate new candidate Ck+1, compute repeatedly until frequent item set LkOnly
Including an element.
4. psychology resistance to compression correlate analysis method as claimed in claim 3, which is characterized in that the method further includes：It is right
Psychological factor in obtained frequent item set carries out confidence test and judges the psychology in frequent item set if meeting confidence test
There are correlativities for factor.
5. psychology resistance to compression correlate analysis method as claimed in claim 3, which is characterized in that the deletion candidate item set
In nonmatching grids, by candidate item set CkBe converted to frequent item set LkThe step of include：
Calculate the number that item collection occurs；
It chooses occurrence number and is more than the item collection of preset value as frequent item set.
6. a kind of psychology resistance to compression correlate analytical equipment, which is characterized in that described device is for executing such as Claims 1 to 5
Method described in any one, described device include：
Acquisition module is surveyed for obtaining psychological resistance to compression monitoring data wherein the psychology resistance to compression monitoring data include multiple psychology
It has a try topic, the option of the multiple answer choices of each psychological test examination question packet and user's selection；
Modeling module, for carrying out Formal Modeling to the psychological resistance to compression monitoring data；Wherein, the model of foundation includes multiple
Psychological factor；
Analysis module, for being analyzed multiple psychological factors in the model of foundation according to preset algorithm, to obtain difference
Incidence relation between psychological factor.
7. psychology resistance to compression correlate analytical equipment as claimed in claim 6, which is characterized in that the modeling module includes：
Threshold segmentation unit, for the answer choice of psychological test examination question described in each into row threshold division；
Matching unit, the option matching threshold range for user's selection to psychological test examination question described in each；
Modeling unit is established model for the matched threshold range of option institute based on psychological test examination question and user's selection, is built
Vertical model includes multiple psychological factors, and the psychological factor includes that the option institute of psychological test examination question and user's selection is matched
Threshold range.
8. psychology resistance to compression correlate analytical equipment as claimed in claim 6, which is characterized in that the analysis module includes：
Construction unit, for building the candidate C being made of k psychological factork；
Screening unit, for deleting the nonmatching grids in candidate item set, by candidate item set CkBe converted to frequent item set Lk；
The construction unit is additionally operable to frequent item set LkElement splice and combine and to generate new candidate Ck+1, the sieve
Menu member repeats screening and calculates until frequent item set LkIt include only an element.
9. psychology resistance to compression correlate analytical equipment as claimed in claim 8, which is characterized in that the analysis module further includes
Analytic unit, the analytic unit carries out confidence test to the psychological factor in obtained frequent item set, if meeting confidence test,
There are correlativities for the psychological factor for then judging in frequent item set.
10. psychology resistance to compression correlate analytical equipment as claimed in claim 8, which is characterized in that the screening unit is used for
Calculate the number that item collection occurs；It chooses occurrence number and is more than the item collection of preset value as frequent item set.
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